Identification of Acoustic Characteristic Parameters and Improvement of Sound Absorption Performance for Porous Metal

Abstract

Porous metal is widely used in the fields of sound absorption and noise reduction, and it is a critical procedure to identify acoustic characteristic parameters and to improve sound absorption performances. Based on the constructed theoretical sound absorption model and experimental data, acoustic characteristic parameters of the porous metal were identified through the cuckoo search identification algorithm, and their reliabilities were certified through comparing with these labeled parameters and further experimental validation. By adding the microperforated metal panel in front of the porous metal, a composite sound-absorbing structure was formed, which aimed to improve the sound absorption performance of the original porous metal by optimizing the parameters. Finite element simulation and a standing wave tube measurement were conducted to validate the effectiveness and practicability of the optimal composite sound-absorbing structure. Consistencies among theoretical predictions, simulation results, and experimental data proved the effectiveness of the identification and optimization method. When the target frequency ranges were 100–1000 Hz, 100–2000 Hz, 100–3000 Hz, and 100–4000 Hz. Actual average sound absorption coefficients of the optimal composite structures were 0.5154, 0.6369, 0.6770, and 0.7378, respectively, which exhibited the obvious improvements with a tiny increase in the occupied space and a small addition in weight.

Development and Optimization of Broadband Acoustic Metamaterial Absorber Based on Parallel–Connection Square Helmholtz Resonators

“…Owing to the inevitable noise resulted from the working equipment, an effective method to reduce the damage of noise is to place the sound absorbing materials around the noise source. Thus, many kinds of sound absorbing materials and structures have been developed, such as the porous materials [ 4 ], microperforated panel absorber [ 5 ], acoustic metamaterial [ 6 ], et al These developed sound absorbing materials and structures can be helpful for noise suppression.…”

Prediction of acoustic wave transmission features of the multilayered plate constructions: A review

“…Due to this fact, Yang et al. [46] used the cuckoo search algorithm (CSA) to focus on this matter considering theoretical and experimental proedures. The outcomes were also simulated by FE approach, in which there was a consistency among the various applied techniques.…”

Improving and Optimizing Sound Absorption Performance of Polyurethane Foam by Prepositive Microperforated Polymethyl Methacrylate Panel

“…The reflected sound wave was received by the acoustic probe, and the detected sound signal was transferred to the workstation by the pickup. Through moving the pulley along the slideway on the foundation support, the peak sound level max According to the achieved optimal structural parameters of the composite structure, the required microperforated polymethyl methacrylate panels were fabricated through the laser beam drilling [38,39], and the prepared composite structures are exhibited in Figure 5. In order to distinguish different components in the composite structure, the utilized polymethyl methacrylate was black, which was an obvious contrast with white of the polyurethane foam, as shown in Figure 5.…”

“…It could be found from Table 3 that there existed some deviations among the average sound absorption coefficients in theory with those in simulation and those in actual, and these deviations increased along with the increase of thickness of the original polyurethane foam and the increase of the investigated frequency ranges generally, which were consistent with the contrast of sound absorption coefficients of the composite structures in Figures 9 and 10. This phenomena was generated by the different utilized calculation methods in theory, in simulation, and in experiment [38]. It could be found from Table 3 that there existed some deviations among the average sound absorption coefficients in theory with those in simulation and those in actual, and these deviations increased along with the increase of thickness of the original polyurethane foam and the increase of the investigated frequency ranges generally, which were consistent with the contrast of sound absorption coefficients of the composite structures in Figures 9 and 10.…”

“…It could be found from Table 3 that there existed some deviations among the average sound absorption coefficients in theory with those in simulation and those in actual, and these deviations increased along with the increase of thickness of the original polyurethane foam and the increase of the investigated frequency ranges generally, which were consistent with the contrast of sound absorption coefficients of the composite structures in Figures 9 and 10. This phenomena was generated by the different utilized calculation methods in theory, in simulation, and in experiment [38]. Table 3.…”